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weather_forecast-window_austin

Will it rain in Austin during your event window. Event-window weather odds for Austin: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Austin coordinates built in. [HTTP: GET /v1/forecast/austin/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.austin]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoWindow end (ISO-8601), ≤12h after start. Default: start + 6h.
startNoWindow start (ISO-8601). Default: the top of the next hour.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it does disclose the operation's shape: HTTP GET endpoint, $0.02 x402 cost, and the returned content ('rain probability and expected conditions across the window'). The default behavior when times are omitted (next six hours) is also stated. It stops short of rate limits, caching, or forecast-accuracy caveats, so it is strong but not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core question ('Will it rain in Austin during your event window') followed by scope and defaults in one dense sentence. The bracketed HTTP/price/docs footer is useful but slightly tacked-on; overall efficient with little waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-optional-parameter tool with no output schema and no annotations, the description covers what the tool returns, how defaults work, the sibling relationship, and the cost/access path. Nothing essential for correct invocation is missing, though accuracy or latency expectations are not addressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters are fully described in the schema, including the ≤12h constraint and individual defaults. The description adds only the combined 'or omit them for the next six hours' convenience default, which is marginal beyond what the schema already documents, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('event-window weather odds for Austin') and pins the exact scope: rain probability across a start/end window. It also distinguishes itself from the generic sibling by noting it is 'Same shape as /v1/forecast/window with the Austin coordinates built in,' so an agent can tell it apart from both weather_forecast-window and the point-forecast weather_forecast_austin.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Built for scheduling decisions' and the start/end framing imply the use case, but the description never explicitly says when to choose this over the sibling window tool for another city or over the plain Austin point forecast. Usage is implied rather than stated as when/when-not/alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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